We propose an automatic algorithm, named SDI, for the segmentation of skin lesions in dermoscopic images, articulated into three main steps: selection of the image ROI, selection of the segmentation band, and segmentation. We present extensive experimental results achieved by the SDI algorithm on the lesion segmentation dataset made available for the ISIC 2017 challenge on Skin Lesion Analysis ...

Ürünün fiyatı, dış ticaretin önemli belirleyicilerinden birisidir. Fiyatı milli para cinsinden değişmese de dövizin değerinin değişmesi, ürünün döviz değişmesine neden olacaktır. Bu durum, satış miktarını etkileyecek, dolayısıyla ülkenin gelirlerini etkileyecektir. miktarın belirlenmesinde ürün talebinin fiyat esnekliği bir parametredir. kapsamda Türkiye’nin 2010 – 2018 döneminde, ISIC REV.4’e ...

Our team has worked on melanoma classification since early 2014 [1], and has employed deep learning with transfer learning for that task since 2015 [2]. Recently, the community has started to move from traditional techniques towards deep learning, following the general trend of computer vision [3]. Deep learning poses a challenge for medical applications, due to the need of very large training ...

A. Renken b,∗, V. Hessel a,c, P. Löb a, R. Miszczuk b, M. Uerdingen d, L. Kiwi-Minsker b a Institut für Mikrotechnik Mainz GmbH, Carl-Zeiss-Str. 18-20, D-55129 Mainz, Germany b Ecole Polytechnique Fédérale de Lausanne, SB-ISIC-GGRC-Station 6, CH-1015 Lausanne, Switzerland c Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands d Solvent Innovation GmbH, Nattermann...

Skin lesion segmentation is an important step for automatic melanoma diagnosis. Due to the non-negligible diversity of lesions from different patients, extracting powerful context fine-grained semantic still challenging today. Although deep convolutional neural networks (CNNs) have made significant improvements on skin segmentation, they often fail reserve spatial details and long-range depende...